IDEAS home Printed from https://ideas.repec.org/a/hur/ijarbs/v4y2014i2p34-44.html
   My bibliography  Save this article

Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana

Author

Listed:
  • Sam Afrane
  • Alex Appah

Abstract

Queuing is a major challenge for healthcare services all over the world, but particularly so in developing countries. Application of queuing theory to enhance decision making to improve this problem is not commonly used by managers in developing countries in contrast to their counterparts in the developed world. This study investigates the application of queuing theory and modelling to the queuing problem at the out-patient department at AngloGold Ashanti hospital in Obuasi, Ghana. Using a descriptive, observational and ex-post facto case study approach, data was generated, analysed and used to model five capacity scenarios for the outpatient department. It is established that the optimum system performance can be achieved with eight doctors effectively at post from contrast to the prevailing five doctors that were effectively at post. In sum, the study establishes that applying queuing theory and modelling to queuing and capacity challenges can enhance decision making with regards to what will provide optimal performance.

Suggested Citation

  • Sam Afrane & Alex Appah, 2014. "Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(2), pages 34-44, February.
  • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:2:p:34-44
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Queuing_theory_and_the_management_of_Waiting-time_in_Hospitals_The_case_of_Anglo_Gold_Ashanti_Hospital_in_Ghana.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/Queuing_theory_and_the_management_of_Waiting-time_in_Hospitals_The_case_of_Anglo_Gold_Ashanti_Hospital_in_Ghana.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Seung-Chul & Horowitz, Ira & Young, Karl K. & Buckley, Thomas A., 1999. "Analysis of capacity management of the intensive care unit in a hospital," European Journal of Operational Research, Elsevier, vol. 115(1), pages 36-46, May.
    2. Randolph Hall & David Belson & Pavan Murali & Maged Dessouky, 2006. "Modeling Patient Flows Through the Healthcare System," International Series in Operations Research & Management Science, in: Randolph W. Hall (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, chapter 0, pages 1-44, Springer.
    3. Jeffery K. Cochran & Aseem Bharti, 2006. "A multi-stage stochastic methodology for whole hospital bed planning under peak loading," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 1(1/2), pages 8-36.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    2. Dominic J. Breuer & Shashank Kapadia & Nadia Lahrichi & James C. Benneyan, 2022. "Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty," Annals of Operations Research, Springer, vol. 312(2), pages 673-689, May.
    3. Rachuba, Sebastian & Imhoff, Lisa & Werners, Brigitte, 2022. "Tactical blueprints for surgical weeks – An integrated approach for operating rooms and intensive care units," European Journal of Operational Research, Elsevier, vol. 298(1), pages 243-260.
    4. Yuta Kanai & Hideaki Takagi, 2021. "Markov chain analysis for the neonatal inpatient flow in a hospital," Health Care Management Science, Springer, vol. 24(1), pages 92-116, March.
    5. Yen-Yi Feng & I-Chin Wu & Tzu-Li Chen, 2017. "Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm," Health Care Management Science, Springer, vol. 20(1), pages 55-75, March.
    6. John Bowers, 2013. "Balancing operating theatre and bed capacity in a cardiothoracic centre," Health Care Management Science, Springer, vol. 16(3), pages 236-244, September.
    7. Pengfei Guo & Christopher S. Tang & Yulan Wang & Ming Zhao, 2019. "The Impact of Reimbursement Policy on Social Welfare, Revisit Rate, and Waiting Time in a Public Healthcare System: Fee-for-Service Versus Bundled Payment," Service Science, INFORMS, vol. 21(1), pages 154-170, January.
    8. Yariv Marmor & Thomas Rohleder & David Cook & Todd Huschka & Jeffrey Thompson, 2013. "Recovery bed planning in cardiovascular surgery: a simulation case study," Health Care Management Science, Springer, vol. 16(4), pages 314-327, December.
    9. William S. Lovejoy & Ying Li, 2002. "Hospital Operating Room Capacity Expansion," Management Science, INFORMS, vol. 48(11), pages 1369-1387, November.
    10. J D Griffiths & N Price-Lloyd & M Smithies & J E Williams, 2005. "Modelling the requirement for supplementary nurses in an intensive care unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 126-133, February.
    11. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.
    12. Gregory Dobson & Hsiao-Hui Lee & Edieal Pinker, 2010. "A Model of ICU Bumping," Operations Research, INFORMS, vol. 58(6), pages 1564-1576, December.
    13. J K Cochran & K Roche, 2008. "A queuing-based decision support methodology to estimate hospital inpatient bed demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1471-1482, November.
    14. Yin-Chi Chan & Eric W. M. Wong & Gavin Joynt & Paul Lai & Moshe Zukerman, 2018. "Overflow models for the admission of intensive care patients," Health Care Management Science, Springer, vol. 21(4), pages 554-572, December.
    15. Youxin Liu & Liwei Liu & Tao Jiang & Xudong Chai, 2024. "Strategic Queueing Behavior of Two Groups of Patients in a Healthcare System," Mathematics, MDPI, vol. 12(10), pages 1-27, May.
    16. Shima Azizi & Cem Deniz Caglar Bozkir & Andrew C. Trapp & O. Erhun Kundakcioglu & Ali Kaan Kurbanzade, 2021. "Aid Allocation for Camp‐Based and Urban Refugees with Uncertain Demand and Replenishments," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4455-4474, December.
    17. Jie Bai & Andreas Fügener & Jochen Gönsch & Jens O. Brunner & Manfred Blobner, 2021. "Managing admission and discharge processes in intensive care units," Health Care Management Science, Springer, vol. 24(4), pages 666-685, December.
    18. Bowers, John & Mould, Gillian, 2004. "Managing uncertainty in orthopaedic trauma theatres," European Journal of Operational Research, Elsevier, vol. 154(3), pages 599-608, May.
    19. Goutam Dutta & Ajay Naik & Dipa Gosai & Priyanko Ghosh, 2021. "A mathematical model for predicting length of postoperative intensive care requirement following cardiac surgery in an Indian hospital," OPSEARCH, Springer;Operational Research Society of India, vol. 58(2), pages 330-350, June.
    20. Ray, Subhash C., 2015. "Nonparametric measures of scale economies and capacity utilization: An application to U.S. manufacturing," European Journal of Operational Research, Elsevier, vol. 245(2), pages 602-611.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hur:ijarbs:v:4:y:2014:i:2:p:34-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.